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Sr. Data ScientistMaxPoint Interactive

THIS JOB HAS EXPIRED

Job Description

The ideal candidate is an unabashed data geek. You enjoy searching the Internet for datasets that you can explore and mashup to tell interesting stories. You view the skills
you have at sourcing, collecting, and cleaning data as a means to an end; you are equally interested gleaning insights from the data that have business application. You
probably have developed these skills through a combination of education, work experience and hobbies. If this describes you, we are interested. You will be an integral part of a small, cross-disciplinary team in our Morrisville, NC office working on highly visible projects that improve performance and grow our product suite.

Responsibilities

Identify new data sources that will improve online targeting efforts
Establish links across existing data sources and find new, interesting mashups
Work closely with statisticians to identify, design and build appropriate datasets for complex experiments
Coordinate data resource requirements between analytics team and engineering team
Develop tools and libraries that will help analytics team members more efficiently interface with huge amounts of data
Help develop algorithms and predictive models to solve critical business problems
Create informative visualizations that intuitively display large amounts of data and/or complex relationships
Work with product managers, engineers and analytics team members to translate prototypes into production

Qualifications

Highly motivated individual with degree(s) in CS or applied quantitative field (math/statistics, economics, engineering).
Minimum of 3-5 years working with relational databases
Ability to write and execute complex SQL queries to extract/process data.
Strong analytical skills
Experience in programming with JAVA, Python, Perl.
Experience with statistics software (prefer R, SPlus, MatLab)
Well versed in UNIX command line utilities (Sed, awk, etc.) and experience using these tools to clean/process very large and often very messy datasets
Coursework or practical experience with data mining, machine learning, building algorithms, applied math and statistics a plus
Deep knowledge of various data sources (government, open source APIs, point-of-sale, proprietary sources, etc.) and experience in linking them
Experience with very large datasets a must. Knowledge of map/reduce framework (hive/pig other tools for accessing data in Hadoop/HBase cluster systems) a plus